Autonomous surveillance for biosecurity
Abstract
The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environmental costs. Conventional manual biosecurity surveillance methods are limited by their scalability in space and time. This article focuses on autonomous surveillance systems, comprising sensor networks, robots, and intelligent algorithms, and their applicability to biosecurity threats. We discuss the spatial and temporal attributes of autonomous surveillance technologies and map them to three broad categories of biosecurity threat: (i) vector-borne diseases; (ii) plant pests; and (iii) aquatic pests. Our discussion reveals a broad range of opportunities to serve biosecurity needs through autonomous surveillance.
Keywords
Cite
@article{arxiv.1503.01173,
title = {Autonomous surveillance for biosecurity},
author = {Raja Jurdak and Alberto Elfes and Branislav Kusy and Ashley Tews and Wen Hu and Emili Hernandez and Navinda Kottege and Pavan Sikka},
journal= {arXiv preprint arXiv:1503.01173},
year = {2015}
}
Comments
26 pages, Trends in Biotechnology, 3 March 2015, ISSN 0167-7799, http://dx.doi.org/10.1016/j.tibtech.2015.01.003. (http://www.sciencedirect.com/science/article/pii/S0167779915000190)